Senior Data Scientist, Marketing Analytics

BECU•St. David's, WA

1d•Hybrid

About The Position

As a Senior Data Scientist, Marketing Analytics at BECU, the role involves serving as a strategic partner to the Marketing department. The primary goal is to translate complex business challenges into actionable, data-driven solutions that directly influence decisions, optimize performance, and achieve measurable results. This position is highly business-facing, requiring close collaboration with marketing stakeholders to define problems, develop analytical approaches, and guide strategic choices using data. While the role utilizes statistical and machine learning models, its success is ultimately measured by the ability to connect these technical solutions to tangible business outcomes and ensure their adoption within the organization. The position offers the opportunity to become a trusted advisor to Marketing leaders, directly influencing strategy, seeing work translate into real improvements in campaign performance and business outcomes, driving the adoption of models and insights, owning experimentation strategies for optimization across channels and markets, and guiding decisions by answering critical business questions.

Requirements

Bachelor’s degree in Data Science, Computer Science, Statistics, or a related quantitative field, or an equivalent combination of education and professional experience.
Minimum 5 years of experience in data science or analytics, with a strong focus on business-facing problem solving and proven experience partnering with business teams (preferably Marketing) to translate needs into analytical solutions.
Experience building and applying statistical, machine learning models in real-world business contexts, and designing and analyzing experiments (A/B testing, campaign optimization, or similar frameworks).
Strong communication skills with the ability to present insights and influence decisions across non-technical stakeholders.
Proficiency in Python, R, and SQL.

Nice To Haves

Advanced degree (Master’s or PhD) in a quantitative discipline preferred.
Experience working within financial services or regulated industries.
Experience with cloud platforms such as AWS, Azure, or GCP.
Experience with MLOps tools such as MLflow, Airflow, Kubeflow, or similar frameworks.
Familiarity with BI tools such as Tableau or Power BI and marketing analytics platforms such as Salesforce Marketing Cloud or Google Analytics.
Experience designing systems for large-scale data processing (e.g., Snowflake, BigQuery, Redshift, Spark).

Responsibilities

Partner with Marketing to Define and Solve Problems – Work closely with marketing stakeholders to understand business challenges, define success metrics, and translate needs into analytical approaches that drive performance across campaigns and channels.
Design and Deliver Data-Driven Solutions – Apply statistical analysis and machine learning to develop solutions that address business needs, then present findings, influence decisions, and gain alignment on adoption.
Lead Experimentation and Optimization – Develop and manage testing frameworks (A/B testing, campaign experimentation) across channels and markets. Analyze results and provide clear recommendations to improve performance and inform future strategy.
Translate Results into Business Impact – Clearly communicate insights and quantify outcomes (e.g., campaign performance lift, engagement improvements, ROI) to ensure stakeholders understand the value and take action.
Partner to Operationalize Solutions – Collaborate with Technology and Engineering teams to transition validated models into production, supporting implementation through scalable pipelines and processes.
Influence Through Storytelling – Present insights and recommendations to both technical and non-technical audiences, including senior stakeholders, to drive alignment and decision-making.